Predicting clustering analysis algorithm for moving data

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (2): 197-201.

• 数据库与信息处理 • Previous Articles Next Articles

Predicting clustering analysis algorithm for moving data

OUYANG Hao¹,XIAO Jian-hua²

1.Department of Computer Engineering，Guangxi University of Technology，Liuzhou，Guangxi 545006，China
2.Department of Information Technology，Hunan First Normal College，Changsha 410002，China

Received:1900-01-01 Revised:1900-01-01 Online:2008-01-11 Published:2008-01-11
Contact: OUYANG Hao

移动数据预估聚类分析算法

欧阳浩¹,肖建华²

1.广西工学院计算机工程系，广西柳州 545006
2.湖南省第一师范学校信息技术系，长沙 410002

通讯作者: 欧阳浩

Abstract

Abstract: The paper studies a predicting clustering analysis algorithm for moving data.Firstly，build a data model of moving data，then provide a clustering analysis algorithm for moving data based on mini-cluster，and detailedly analyze collision events and split events of moving mini-cluster.The new algorithm can predict arbitrary time clustering that is in the given period of time.

Key words: moving data, data mining, clustering, grid, micro-cluster

摘要： 研究了一种移动数据的预估聚类分析算法。首先建立移动数据的数学模型，然后在此模型的基础上，提出一个基于微簇的移动数据的聚类分析算法，并对移动微簇的相交和分裂事件进行了详细地分析。提出的新算法可以预测一定时间段内的任意时刻数据的聚类情况。

关键词: 移动数据, 数据挖掘, 聚类, 网格, 微簇

OUYANG Hao¹,XIAO Jian-hua². Predicting clustering analysis algorithm for moving data[J]. Computer Engineering and Applications, 2008, 44(2): 197-201.

欧阳浩¹,肖建华². 移动数据预估聚类分析算法[J]. 计算机工程与应用, 2008, 44(2): 197-201.

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Predicting clustering analysis algorithm for moving data

移动数据预估聚类分析算法

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